BiomaterialsImmunologyPeer-reviewed journal article
Metabolic Reprogramming of Human Macrophages Drives the Formation of Hybrid M1/M2 Pro-Regenerative Extracellular Vesicles
Cansu GörgüniD, Paula A. KlavinaiD, Carolina MartinsiD, Cloé A. Payet, Brenton CavanaghiD, Marianne PultariD, Matthias HackliD, Annie M. CurtisiD, David A. HoeyiD
Abstract
The coordinated activity of macrophages is essential for bone repair, with pro-inflammatory M1 macrophages driving early responses and anti-inflammatory M2 macrophages supporting later tissue remodeling. While both phenotypes are required, prolonged persistence of either subtype can impair healing, underscoring the correct transition between the two states. Macrophage polarization is closely linked to cellular metabolism, and human macrophages display distinct metabolic profiles. Macrophage-derived extracellular vesicles (EVs) carry bioactive cargo and reflect parental polarization, influencing recipient cell function. This raises critical questions about how metabolic regulation influences human macrophage function, their EVs and their effect on angiogenesis and osteogenesis. This study investigates EVs derived from polarized primary human macrophages and from macrophages exposed to DASA-58, a small molecule which activates the metabolic enzyme pyruvate kinase M2 (PKM2). Alterations in macrophage metabolism modifies the molecular cargo of their EVs, including microRNAs (miRNAs), to modulate regenerative activity. These findings demonstrate that human macrophage-derived EVs exert metabolically dependent effects on angiogenesis and osteogenesis, and that metabolic modulation enables the generation of EVs with hybrid pro-regenerative properties intermediate between M1 and M2. This establishes metabolic reprogramming within human macrophages using small molecules as a strategy to engineer novel phenotypes and EVs for bone repair.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: cell-cell communication
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 5
- FWCI
- 10.26
- Field percentile
- top 1%
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